mcsm-benchs: Benchmarking methods for multi-component signal processing

Python Jupyter Notebook Submitted 20 February 2025Published 22 September 2025
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Editor: @mstimberg (all papers)
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Authors

Juan M. Miramont (0000-0002-3847-7811), Rémi Bardenet (0000-0002-1094-9493), Pierre Chainais (0000-0003-4377-7584), François Auger (0000-0001-9158-1784)

Citation

Miramont et al., (2025). mcsm-benchs: Benchmarking methods for multi-component signal processing. Journal of Open Source Software, 10(113), 8175, https://doi.org/10.21105/joss.08175

@article{Miramont2025, doi = {10.21105/joss.08175}, url = {https://doi.org/10.21105/joss.08175}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {113}, pages = {8175}, author = {Miramont, Juan M. and Bardenet, Rémi and Chainais, Pierre and Auger, François}, title = {mcsm-benchs: Benchmarking methods for multi-component signal processing}, journal = {Journal of Open Source Software} }
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Multi-component signals Signal processing Time-frequency representations

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